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The Importance of Consent in User Comfort with Personalization

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Social Informatics (SocInfo 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10540))

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Abstract

Numerous research projects have documented concerns that users have with data commonly used by recommender systems. In this paper, we extend that work by specifically investigating the link between consent, explicitly given, and privacy concern. In a study with 662 subjects, we found that the majority of users would not consent to data from outside systems being used to personalize their experience, and sizable minorities object to even internal system data being used. Among those who said they could consent, found they are often uncomfortable with the data being used if they are not asked to consent, but become comfortable after they can explicitly give their consent. We discuss implications for recommender systems going forward, specifically with respect to incorporating data into algorithms when users are unlikely to consent to its use.

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Authors and Affiliations

  1. University of Maryland, College Park, USA

    Jennifer Golbeck

Authors
  1. Jennifer Golbeck
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Correspondence to Jennifer Golbeck .

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Editors and Affiliations

  1. Indiana University, Bloomington, Indiana, USA

    Giovanni Luca Ciampaglia

  2. University of Washington, Seattle, Washington, USA

    Afra Mashhadi

  3. University of Oxford, Oxford, United Kingdom

    Taha Yasseri

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© 2017 Springer International Publishing AG

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Golbeck, J. (2017). The Importance of Consent in User Comfort with Personalization. In: Ciampaglia, G., Mashhadi, A., Yasseri, T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science(), vol 10540. Springer, Cham. https://doi.org/10.1007/978-3-319-67256-4_37

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  • DOI: https://doi.org/10.1007/978-3-319-67256-4_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67255-7

  • Online ISBN: 978-3-319-67256-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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